A major concern for the world's ecosystems is the possibility of collapse, where landscapes
and the societies they support change abruptly. Accelerating stress levels, increasing …

In this topical review, we present a brief overview of the different methods and measures to
detect the occurrence of critical transitions in complex systems. We start by introducing the …

Studies on the possibility of predicting critical transitions with statistical methods known as
early warning signals (EWS) are often conducted on data generated with equation-based …

Methods to forecast critical transitions, ie abrupt changes in systems' equilibrium states have
relevance in scientific fields such as ecology, seismology, finance and medicine among …

We trained a long-short-term-memory (LSTM)-neural network on time series generated with
an agent-based model that was designed to differentiate the drivers of its dynamics into …

Dynamical systems can be subject to critical transitions where a system's state abruptly shifts
from one stable equilibrium to another. To a certain extent such transitions can be predicted …

In this topical review, we present a brief overview of the different methods and measures to
detect the occurrence of critical transitions in complex systems. We start by introducing the …

The world's ecosystems are undergoing unprecedented changes due to the impact of
climate change 17 and local human activities. A major concern is the possibility of tipping …